Navigation enables a robot to turn perception and motion into purposeful autonomy. Unlike locomotion, which produces stable movement, navigation must be used to continuously localize the robot, interpret changing surroundings, select a route, and avoid obstacles to reach a goal safely.

Moving this capability to a new robot or scene can require new data, simulation assets, robot interfaces, training, diagnosis, and evaluation. Repeating that work for every robot-scene pair is expensive and difficult to reproduce.

An agent-driven workflow reduces this burden. The developer defines the robot, scene source, and navigation goal. A coding agent uses repository skills to validate dependencies, prepare assets, run smoke tests, launch training, diagnose failures, and compare checkpoints.…